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Machine Learning Mastery0 Hot0 bình luận6 phút đọc
Agent or Workflow? A Practical Test for Knowing When You Actually Need an AI Agent
A framework for deciding whether to build an AI agent or a fixed workflow before writing any code. A workflow has control flow fixed at design time (steps and branches can be predetermined), while an agent lets the LLM decide the next action at runtime based on observed results. The core test: can you draw a complete flowchart of the task before the LLM runs? If yes, build a workflow. If the next step depends on runtime discoveries, an agent is likely needed. A five-point checklist covers predictability of steps, input variability, cost/latency sensitivity, audit/compliance needs, and whether a workflow with LLM judgment has already been tried. The recommendation is to start with a constrained workflow, measure failures, and only add agentic behavior where truly necessary.
Nguồn: https://machinelearningmastery.com/agent-or-workflow-a-practical-test-for-knowing-when-you-actually-need-an-ai-agent. 8 Sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.
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